import numpy as np
import pymysql
import pandas as pd
import pymysql.cursors

class MysqlUtils(object):
    def __init__(self):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            passwd='root',
            db='scenic',
            port=3305,
            charset='utf8'
        )
    
    def get_scenic_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT t.tourist_agency_name, rel.id_no, LEFT(rel.id_no, 2) as province_code,
        DAYOFWEEK(gate.create_time) as non_weekend,
        cast(substring(rel.id_no, 7, 4) as unsigned) as birth_year
        FROM ticket_order_user_rel rel
        LEFT JOIN ticket_order t on t.id = rel.order_id
        LEFT JOIN order_user_gate_rel gate on gate.ticket_rel_id = rel.id
        WHERE t.pay_time != '' and t.tourist_agency_name != ''
        """
        cursor.execute(sql)
        ret = cursor.fetchall()
        
        df= pd.DataFrame(ret)
        #print(df.head)
        # 数据清洗
        df['non_weekend'] = df['non_weekend'].apply(lambda x: 1 if x not in [1, 7] else 0)

        # 新增有效标记列
        df['valid_id'] = df['id_no'].apply(lambda x : 1 if x and str(x).split != '' else 0)
        
        # 判断是否外省游客及老年人游客
        df['out_province_ratio'] = df.apply(
        lambda x : 1 if(x['valid_id'] and x['province_code'] != 44) else 0 if x['valid_id'] else np.nan,
        axis=1
        )
        df['elderly_ratio'] = df.apply(
        lambda x : 1 if(x['valid_id'] and 2025 -x['birth_year'] >=60) else 0 if x['valid_id'] else np.nan,
        axis=1
        )
        #分组聚合计算占比
        result = df.groupby(['tourist_agency_name']).agg(
            total_visitors=('id_no','count'),#总游客数
            valid_visitors=('valid_id','sum'),#有效身份证游客数
            out_province=('out_province_ratio','sum'),#外省人数（有效id_no)
            elderly=('elderly_ratio','sum'),#老年大人数
            non_weekend=('non_weekend','mean'),#非周本占比
        ).reset_index()

#计算实际比例
        result['out_province_ratio']= result['out_province']/ result['valid_visitors'].replace(0, np.nan)
        result['elderly_ratio']= result['elderly']/ result['valid_visitors'].replace(0, np.nan)
#清除中间列
        result = result.drop(['out_province','elderly'], axis=1)
        result['out_province_ratio'] = result['out_province_ratio'].fillna(0)
        result['elderly_ratio'] = result['elderly_ratio'].fillna(0)
        result.to_csv('scenic_data.csv')
        
        
if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_scenic_data()